jfa: Bayesian and Classical Audit Sampling

Implements the audit sampling workflow as discussed in Derks et al. (2019) <doi:10.31234/osf.io/9f6ub>. The package makes it easy for an auditor to plan an audit sample, sample from the population, and evaluating that sample using various confidence bounds according to the International Standards on Auditing. Furthermore, the package implements Bayesian equivalents of these methods.

Version: 0.1.0
Suggests: testthat, knitr, rmarkdown
Published: 2020-01-08
Author: Koen Derks [aut, cre]
Maintainer: Koen Derks <k.derks at nyenrode.nl>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: jfa results


Reference manual: jfa.pdf
Vignettes: jfa: The audit sampling workflow
Package source: jfa_0.1.0.tar.gz
Windows binaries: r-devel: jfa_0.1.0.zip, r-release: jfa_0.1.0.zip, r-oldrel: jfa_0.1.0.zip
macOS binaries: r-release: jfa_0.1.0.tgz, r-oldrel: jfa_0.1.0.tgz


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